Pau Martín-Malpartida

1.2k citations
35 papers · 795 indexed · h-index 14
Topics
Chemical Synthesis and Analysis (7 papers)Ubiquitin and proteasome pathways (5 papers)Cancer-related gene regulation (5 papers)

In The Last Decade

Pau Martín-Malpartida

34 papers receiving 791 citations

Peers

Pau Martín-Malpartida
Comparison fields: 5 of 91
  • Molecular Biology 613
  • Oncology 112
  • Cell Biology 73
  • Cancer Research 73
  • Immunology 65
Replace Kateřina Kuželová with:
Kateřina Kuželová Czechia
Sahithi Pamarthy United States
Angelina J. Lay Australia
Thomas W. Owens United Kingdom
Paweł Ostasiewicz Poland
Natalia G. Denissova United States
Natalie L. Stephenson United Kingdom
Anne Fassl Germany
Amy E. Adams United States
Carolina Landolt-Marticorena Canada
Pau Martín-Malpartida relative to Kateřina Kuželová Czechia Kateřina Kuželová's profile →
Citations per field
00.5×1.5×2.2×
Kateřina Kuželová · 1×
Citations per year

Countries citing papers authored by Pau Martín-Malpartida

Since Specialization
Citations

This map shows the geographic impact of Pau Martín-Malpartida's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pau Martín-Malpartida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pau Martín-Malpartida more than expected).

Fields of papers citing papers by Pau Martín-Malpartida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pau Martín-Malpartida. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pau Martín-Malpartida. The network helps show where Pau Martín-Malpartida may publish in the future.

Co-authorship network of co-authors of Pau Martín-Malpartida

This figure shows the co-authorship network connecting the top 25 collaborators of Pau Martín-Malpartida. A scholar is included among the top collaborators of Pau Martín-Malpartida based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pau Martín-Malpartida. Pau Martín-Malpartida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 6
4 3
5 1
6 8
7 5
8 9
9 11
10 5
11 16
12 23
13 8
14 4
15 2
16 9
17 19
18 8
19 23
20 15

About Pau Martín-Malpartida

Pau Martín-Malpartida is a scholar working on Molecular Biology, Cell Biology and Physical and Theoretical Chemistry, having authored 35 papers that have together received 795 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (7 papers), Ubiquitin and proteasome pathways (5 papers) and Cancer-related gene regulation (5 papers). The work is most often cited by research in Molecular Biology (613 citations), Cancer Research (73 citations) and Cell Biology (73 citations). Pau Martín-Malpartida has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include María J. Macias, Joan Massagué, Lidia Ruíz, Eric Aragón, Tiago Gomes, Antoni Riéra, Albert Escobedo, Jimena Fernández‐Carneado, Xavier Verdaguer and Berta Ponsati. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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